Tyche Institute
Open research on AI, digital trust, and governance.
Tyche Institute is a registered Estonian non-profit research association (MTÜ, registry code 80673227) studying how technical systems become accountable inside institutions. Its work connects AI evidence, digital trust infrastructure, public-sector oversight, administrative contestability, procurement, standards, and long-term institutional memory.
Tyche builds and studies signed, timestamped, offline-verifiable evidence without pretending that cryptography proves truth, confers legitimacy, or replaces human and institutional judgment.
Latest verified milestones
Appointments, accepted work, and public engagement
COST · 11 August 2026
Estonia MC appointment for CA25178
Anton Sokolov accepted Estonia's nomination to the Management Committee of the API-Net COST Action, with Tyche Institute as his affiliation.
Research · September 2026
Three accepted workshop papers
Camera-ready packages and registrations are complete for XAI-EADM, RAISE, and STM. Proceedings publication is pending.
Standards · 30 September–1 October
ETSI/CEN EUDI Wallet demonstration
MachineMandate will be shown at an on-site demonstration table during workshop coffee breaks in Sophia Antipolis.
Published dataset
Nekropolis is now published in Data in Brief
The final open-access article describes a 14,923-record public corpus of computer-science retractions and AI-governance lifecycle records from 2018-2026.
Research domains
Technology and institutions, studied together
Tyche’s programme is not cryptography with policy added afterward. It follows the full chain from technical evidence to delegated authority, organisational practice, public scrutiny, and repair.
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Verifiable AI evidence
Provenance, integrity, agent delegation, human-oversight records, and evidence packages that remain inspectable beyond the system that produced them.
02
Digital trust infrastructure
PKI, digital identity, remote attestation, post-quantum transition, and public interoperability infrastructure studied as technical and institutional systems.
03
Governance and public institutions
Public-sector AI accountability, administrative contestability, procurement, standards, regulatory implementation, and the public records needed to scrutinise decisions.
Governance
Evidence is useful only inside an accountable process
For Tyche, governance is the study of how authority, evidence, responsibility, and contestability are organised around technical systems.
Current work examines public-sector AI oversight, digital-state infrastructure, administrative contestability, regulatory and standards implementation, procurement signals, and the public records that let institutions be scrutinised over time.
What we do
Tyche develops public specifications, reference verifiers, and case studies for AI evidence packages: structured artifacts that can be checked after the fact by humans, auditors, researchers, and independent tools.
The programme covers open data and open-government records, public-key infrastructure read as governance, human oversight and agent delegation, educational AI, administrative evidence, and long-term validation under emerging European regulation. The working papers are the canonical statement of scope.
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Open by design.
Public specifications and reference code where openness is useful; working papers and case studies where research is the right form.
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Verifiable by structure.
Evidence over belief: provenance, integrity, timestamps, policy context, and human review events that can be checked after the fact.
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Independent by intent.
Research-first posture, clean boundaries, and no claim to provide legal advice, compliance certification, or trust services.
Flagship
EATF — Agent Trust Framework
EATF is a research line for verifiable AI evidence packages: signed, timestamped, offline-verifiable artifacts that record provenance, integrity, policy context, model/tool metadata, and human review events.
Current case studies focus on educational AI, civic data, model-card evidence, and research artifact provenance.
Boundaries
Evidence, not overclaiming
Tyche Institute does not claim that cryptographic evidence proves truth, provide legal advice, certify EU AI Act compliance, operate as an eIDAS trust service provider, issue production certificates or timestamps, or sell compliance audits. Its work is research-oriented unless a specific engagement states otherwise.
From the lab
Bayesian Knowledge Tracing Study Guide
A trilingual, interactive guide to Bayesian Knowledge Tracing, adaptive task selection, explainability, and classroom heatmaps — a safer flagship case for attestable educational AI where teachers remain in control and recommendations can leave replayable evidence.
From the lab
H2O Atlas
A probabilistic risk estimator for Estonian water-quality compliance, built on Terviseamet open data. It originated as a TalTech Masinõpe (spring 2026) coursework project and continues as a Tyche-side testbed for EATF — a transparency tool, not a health advisory.